More Probability Estimators for CABAC in Versatile Video Coding

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

In the next-generation Versatile Video Coding (VVC), its Context-based Adaptive Binary Arithmetic Coding will have evolved to use linear quantization and multi-probability estimators for prediction, instead of using the finite state table and lookup table in the current standard. This paper highlights the key techniques that involve more probability estimators to enable VVC to potentially achieve a linear quantization representation of the probability state, and a multiplication-free operation can be achieved through a series of bit operations. This article focuses on key techniques involving more probability estimators, so that VVC can linearly achieve a quantized representation of probability prediction and describes the scalability potential for higher accuracy. The BD-RATE gain of the proposed approach is up to 4.0% for all-intra mode and 2.0% for inter mode, the improvement showing that gain is provided in the encoding, and the proposed method can be used in the next generation VVC standard.

Original languageEnglish
Title of host publication2020 IEEE 5th International Conference on Signal and Image Processing, ICSIP 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages366-370
Number of pages5
ISBN (Electronic)9781728168968
DOIs
Publication statusPublished - 23 Oct 2020
Event5th IEEE International Conference on Signal and Image Processing, ICSIP 2020 - Virtual, Nanjing, China
Duration: 23 Oct 202025 Oct 2020

Publication series

Name2020 IEEE 5th International Conference on Signal and Image Processing, ICSIP 2020

Conference

Conference5th IEEE International Conference on Signal and Image Processing, ICSIP 2020
Country/TerritoryChina
CityVirtual, Nanjing
Period23/10/2025/10/20

Keywords

  • CABAC
  • VVC test model
  • probability estimator
  • versatile video coding

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